Our client is the world's premier financial data and analytics provider. For over 30 years, we have provided timely and accurate data to the world's financial institutions, including the largest banks and most elite hedge funds.

Here in our San Francisco office we've identified an opportunity to reach a new client base by building a brand new product that opens our data, core products and visualizations to data scientists, machine learning researchers, and quantitative modelers.

We're building a financial development platform and are looking for people to help build out visualizations and rich features on top of Jupyter Notebooks. Our clients want the power of our analytics, flexibility of programming, and quick answers. Come help us redefine how the financial industry gets their next trading idea.

We'll trust you to:

Build a platform to store and index thousands of clients' codebases and data

Expand our sharing network to allow clients to share and collaborate on code

Provide a search infrastructure for rich tools to make it easier for our clients to write code and analysis

Learn and understand the variety of ways quantitative developers conduct research; from back-testing trading strategies over years of price history information to modeling and evaluating portfolio risk

Come up with ideas on how to improve the financial data science platform and help implement them.

All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience.

Please Note: All inquiries will be treated with the utmost confidentiality. Your resume will not be submitted to any client company without your prior knowledge and consent.